Kraken launches agentic trading to close pro-trader capability gap
Kraken is reintroducing its mobile app with agentic trading at its core, allowing AI agents to autonomously execute trades, monitor markets, and manage portfolios within user-defined parameters. Unlike fixed-rule automated systems, Kraken's agents will evaluate multiple variables, learn from new information, and pursue objectives defined by users via plain-English prompts. The feature represents the next competitive battleground for crypto exchanges, with Coinbase and Gemini having recently introduced AI-assisted trading tools.
Kraken's agentic platform will onboard users through AI that learns their financial goals, risk tolerance, funding preferences, and profile, then draft a portfolio for review. Once invested, users receive AI-curated insights, portfolio-relevant news, and proactive recommendations. Over time, the platform aims to tailor conversations and app interface dynamically. Kamo Asatryan, Kraken's chief data officer, framed the vision as bringing retail customers closer to pro-trader capabilities: 'everyday people [can] become high-frequency traders... by just talking to their well-informed best friend.'
For infrastructure teams and trading firms evaluating crypto exchange capabilities, Kraken's agentic layer reflects a structural shift in how exchanges engage users—moving from feature parity to continuous AI-native portfolio management. The timing aligns with a broader bear market push for engagement and retention, and signals that AI-powered agent orchestration is becoming core to exchange infrastructure, not an add-on.
Sources
- Primary source
- cnbc.com
“Agentic trading is when AI agents autonomously make trading decisions, execute transactions and potentially manage portfolios, based on human inputs”
- cnbc.com
“Kraken said its platform will give users access to agents capable of continuously monitoring markets, identifying investing opportunities and executing trades in real time”